Senior Data Scientist / Analyst, Institutional
On-siteNew York City, New York, United States or New York, United States
Job Summary
Own analytics for largest institutional makers, takers, and brokerages to establish internal truth on relationship performance. Build account-level views covering volume, flow composition, spread capture, and fee economics while monitoring for concentration risk or churn signals. Analyze trading behavior to determine participant profitability and assess the validity of existing terms. Support negotiations and partner reviews with data-driven insights on counterparty value and leverage. Quantify institutional flow impacts on market liquidity, spreads, and retail trader experience. Collaborate with engineering teams to model recurring reporting datasets and maintain end-to-end documentation.
Required Qualifications
- 7+ years in analytics, trading, or counterparty analysis
- ideally at an exchange, trading venue, brokerage, or market making firm
- Expert SQL
- ability to work directly against order book and transaction-level data without supervision
- Deep understanding of how professional participants make money
- knowledge of spread capture
- knowledge of adverse selection
- knowledge of inventory risk
- knowledge of the economics of providing liquidity
- Credibility in a technical conversation with a sophisticated counterparty
- ability to hold your own with a firm's own quants
- Commercial instinct
- ability to look at a relationship and articulate what it is worth to us
- ability to articulate where the leverage sits
- Strong communication and discretion
- ability to handle sensitive counterparty information
- ability to communicate in front of external partners
- Comfortable operating in a fast-moving environment
- ability to keep pace when business logic changes frequently
Desired Qualifications
- (Plus) Experience with institutional pricing
- (Plus) Experience with fee tiers
- (Plus) Experience with rebate program design
- (Plus) Familiarity with on-chain data
- (Plus) Familiarity with blockchain analytics
- (Plus) Python or R for deeper statistical work on trading behavior
- (Plus) Experience in fintech
- (Plus) Experience in crypto
- (Plus) Experience in prediction markets
- (Plus) Experience in other data-intensive financial products
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